| 集装箱船配载问题的粒子群算法研究 |
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| 引用本文： | 汪圆圆,陈顺怀.集装箱船配载问题的粒子群算法研究[J].船舶工程,2017,39(S1):249-252. |
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| 作者姓名： | 汪圆圆 陈顺怀 |
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| 作者单位： | 高性能船舶技术教育部重点实验室 武汉理工大学交通学院 武汉 430063,高性能船舶技术教育部重点实验室 武汉理工大学交通学院 武汉 430063 |
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| 摘 要： | 针对集装箱船配载优化中的Bay位优选问题,提出以倒箱量、重心横向偏移和初稳性高为目标,以箱位与Bay位的一致和Bay位重量为约束条件的数学模型,提出一种多目标离散粒子群算法(MODPSO)求解之,得到该算法优化后的Pareto解集和Pareto解迭代过程中的变化趋势图,为集装箱船配载问题提供多种方案以供备选,从而达到在提高集装箱船装载效率、节约装载成本和时间、使集装箱船获得稳定航行状态等目标间取得更好平衡的目的。
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| 关 键 词： | 配载优化 MODPSO 集装箱 Pareto |
| 收稿时间： | 2017/3/29 0:00:00 |
| 修稿时间： | 2017/7/19 0:00:00 |
Research on Particle Swarm Optimization Algorithms for Solving Container Loading Plan Problem |
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| WANG Yuan-yuan and Chen Shun-huai.Research on Particle Swarm Optimization Algorithms for Solving Container Loading Plan Problem[J].Ship Engineering,2017,39(S1):249-252. |
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| Authors: | WANG Yuan-yuan and Chen Shun-huai |
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| Institution: | Key Laboratory of High Performance Ship Technology Wuhan University of Technology,Ministry of Education,Key Laboratory of High Performance Ship Technology Wuhan University of Technology,Ministry of Education |
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| Abstract: | In order to solve two-dimensional container loading plan problem (2D CLPP) which is a part of three-dimensional container loading plan problem (3D CLPP), put forward a mathematical model which set the number of shift, center of gravity in the lateral displacement and height of initial stability as the goal, consistency between container position and Bay position, weight of the Bay as constraint. And multi-objective discrete particle swarm optimization (MODPSO) algorithm is proposed to solve it, the Pareto solutions are got and compared. And much more rather than only one loading plans are got so that the efficiency of containership loading improving, the cost and time of loading saving and the container ship sailing state stable could be balanced.#$NLKeywords: Loading optimization; MODPSO; Container; Pareto |
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| Keywords: | Loading optimization MODPSO Container Pareto |
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